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Independent Component Analysis
This article describes a relatively new research topic called independent component analysis (ICA), which is becoming very popular in the signal processing literature and amongst those working in machine learning and data mining. The primary focus of ICA is to resolve the classical problem of blind source separation (BSS), in which an unknown mixture of nonGaussian signals is decomposed into its independent component signals. The classical example of BSS is the so-called cocktail-party problem,doi:10.1002/0471221317.ch7 fatcat:glrvhxtzpjh67l5exy6q3tjlmu